Evidence map›Paper›PMID 35117243›Full record

ArticleTranslational cancer research2020

Prognostic value of let-7 in lung cancer: systematic review and meta-analysis.

Cheng Shen, Jue Li, Guowei Che

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 40% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. EML4-ALK fusion rewires transcriptomic, miRNA, and CAF-associated programs in non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Cheng ShenDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Jue LiDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
Guowei CheDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
West China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is the leading cause of cancer-related deaths worldwide and the overall survival of patients with non-small cell lung cancer has not been improved. Let-7 family has been shown to act as tumor suppressors by inhibiting oncogenes and key regulators of mitogenic pathways, while far fewer clinical studies addressing the association between let-7 expression and the disease prognosis have been published up to date. Therefore, our meta-analysis aims to determine the prognostic significance of let-7 expression in lung cancer patients.

methodsPubMed, EMBASE, the Web of Science and China National Knowledge Infrastructure (CNKI) databases were searched for full-text literature citations. We applied the hazard ratio (HR) with 95% confidence interval (CI) as the appropriate summarized statistics. Q-test and I2 statistic were used to estimate the level of heterogeneity. The publication bias was detected by Begg's test and Egger's test.

resultsSeven eligible studies involving 2,262 patients were selected for this meta-analysis. The combined HR for the seven eligible studies was 0.61 (95% CI: 0.53-0.70, P<0.00001) and heterogeneity of overall prognosis was relatively high (I

conclusionsThe present evidence indicates that the low let-7 expression can be considered as a significant predictor of worse prognosis in patients with lung cancer. The findings of our meta-analysis may be further confirmed in the future by the use of more updated review pooling and more relevant investigations.

Indexed as

Let-7lung cancermeta-analysisprognosis

Identifiers

PMID35117243
PMCPMC8799185
OpenAlexW3092245147

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.